ELFT2500 Embedded Systems and Instrumentation Course description

The course provides basic knowledge of systems, units and functions in the discipline of industrial instrumentation.

The following coursework is compulsory and must be approved before the student can take the exam:

• Two compulsory assignments (source code and documentation)
• One individual programming assignment.

The main purpose of the course is to improve the students' ability to communicate in English both in writing and orally in a professional context. The course is cross-curricular since a large part of the syllabus is related to subjects within business and economics. It will prepare the students to deal with real situations in the business world.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The course provides the student with basic knowledge of systems design and industrial instrumentation, i.e.:

• instrumentation of unit operations
• basic instrumentation, hook-up drawings and instrument qualities
• control devices
• installation in potentially explosive atmospheres
• systems design
• PLC architecture
• PLC programming

Skills

The student is capable of:

• analysing systems with regard to systems design, instrumentation and PLC programming, and automating large-scale and small-scale industrial processes

General competence

The student:

• has an overall, detailed understanding of the automation and instrumentation of industrial processes in a project-related and operations-technical perspective
• has insight into the operation of industrial processes and how this is implemented in an efficient, financially sound manner

Lectures and laboratory assignments are central in the teaching.

The following coursework is compulsory and must be approved before the student can sit the exam:

• 4 compulsory hand-in exercises. estimimated time 4 hours pr. each.
• 4 lab assignments with submission, estimimated time 3,5 hours pr. each.

Exam form: Individual written exam, 3 hours

The exam result can be appealed.

The course deals with the analysis, design, implementation and application of commonly used algorithms and data structures in ordinary and advanced data processing.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student is capable of:

• explaining the structure and purpose of data structures such as tables, lists, stacks, different types of queues, heaps, hash tables, different types of trees, graphs and files
• explaining the function and efficiency of different variants of algorithms for counting, entering, searching for, deleting, traversing, sorting, optimising and compressing data

Skills

The student is capable of:

• analysing, designing, and implementing data structures, and evaluate which data structures are suited for specific tasks
• analysing, designing, implementing and using the algorithms required to solve specific tasks
• using both self-developed and standardised algorithms and data structures to solve complex and complicated problems

General competence

The student is capable of:

• participating in discussions and providing advice on what data structures and algorithms are most expedient in different situations
• communicating the importance and necessity of using good structures and efficient algorithms in programming projects

Lectures and individual exercises. The exercises are based on the students’ own work, supervised by the lecturer and/or a student assistant.